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Modelling Capabilities of Neurofuzzy Networks for Nonlinear Control

Modelling Capabilities of Neurofuzzy Networks for Nonlinear Control
Modelling Capabilities of Neurofuzzy Networks for Nonlinear Control
This paper briefly describes the modelling abilities of certain associative memory neural networks - the CMAC and B-splines and discusses how network construction algorithms may be used to produce parsimonious representations.
Brown, M.
52cf4f52-6839-4658-8cc5-ec51da626049
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
Brown, M.
52cf4f52-6839-4658-8cc5-ec51da626049
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a

Brown, M. and Harris, C.J. (1994) Modelling Capabilities of Neurofuzzy Networks for Nonlinear Control. Colloq. on Nonlinear Control.

Record type: Conference or Workshop Item (Other)

Abstract

This paper briefly describes the modelling abilities of certain associative memory neural networks - the CMAC and B-splines and discusses how network construction algorithms may be used to produce parsimonious representations.

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More information

Published date: 1994
Additional Information: Organisation: IEE Address: London, UK
Venue - Dates: Colloq. on Nonlinear Control, 1994-01-01
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 250253
URI: http://eprints.soton.ac.uk/id/eprint/250253
PURE UUID: a5ebdf4e-e364-4a28-bd17-8f83ba65fec9

Catalogue record

Date deposited: 04 May 1999
Last modified: 10 Dec 2021 20:07

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Contributors

Author: M. Brown
Author: C.J. Harris

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